3) New homes in the Manteca, CA can have between 1 and 5 bathrooms. Let x represent the number of bathroomsin randomly selected new homes. The following table represents the likelihood of having x bathrooms in arandomly selected new home.a.Which one would be the correct probability distribution for the random variable x. Justify your answer.i.-10.4i50.1250.3100.0600.2800.225345ii.P(x)0.125 0.3100.060 0.280 0.225b.Using the correct probability distribution for the random variable x, what is the probability that threehouses are randomly selected, and they all have exactly 3 bathrooms cach?

Answered: 3) New homes in the Manteca, CA can…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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USATestprep, LLC.... T-Rex Chrome Offli... M Inbox (307)-randol... R6.1. Knees Patients receiving artificial knees oft experience pain after surgery. The pain is measured one subjective scale with possible values of 1 (low) to 5 (high Let X be the pain score for a randomly selected patient. The following table gives part of the probability distribution for X 2 Value: Probability: (b) (c) #3 54 1 0.1 $ N % 2 0.2 Find PIX= 5). If two patients who received artificial knees are cho sen at random, what's the probability that both of them report pain scores of 1 or 27 Show your work Compute the mean and standard deviation of X Show your work. 5 D Get the Most Out of.... A Registration - Paym.. 6 3 4 0.3 0.3 08 5 7 77
Find the mean of the given probability distribution. A police department reports that the probabilities that 0,1,2 and 3 burglaries will be reported in a given day are 0.48,0.41,0.10,and 0.01 respectively.
Choose an American household at random and let the random variable ?X be the number of cars (including SUVs and light trucks) they own. Given is the probability distribution if we ignore the few households that own more than 5 cars. Number of cars 0 1 2 3 4 5 Probability 0.09 0.36 0.35 0.13 0.05 0.02 About what percentage of households have a number of cars within 2 standard deviations of the mean?
Assume each newborn baby has a probability of approximately 0.49 of being female and 0.51 of being male. For a family with four children, let X = number of children who are girls. Identify p for the binomial distribution.
Please help me with this question.
Discrete Probability Distributions Worksheet 1. You flip four coins. Let X, the random variable, be the number of heads on all four coins. a. List the sample space for the experiment. b. What are the possible values for x? c. Is the random variable, x, continuous or discrete? d. Construct a probability distribution for this experiment. (X) e. Construct a histogram for the probability distribution in the space below. 2. Determine if the following are probability distributions (if no, state why). а. X 6. P(X) 4/9 12 15 3. 6. 1 2 3 4 5 P(X) 3/10 1/10 1/10 2/10 3/10 20 30 40 50 1.1 0.2 0.9 0.3 (X)
Suppose you called your local pharmacy to refill a prescription and are put on hold. Assume that the amount of time you will spend on hold is somewhere between 0 and 13 minutes and it follows a uniform distribution. What is the probability you will be on hold for exactly 8 minutes?
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the mean of the given probability distribution. 6) In a certain town, 40% of adults have a college degree. The accompanying table describes the probability distribution for the number of adults (among 4 randomly selected adults) who have a college degree. 6) P(x) 0|0.1296 10.3456 2 0.3456 3 0.1536 4 0.0256 A) µ= 1.73 B ) μ= 2.00 Ομ= 16 D) µ = 1.50
d and e only
K The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions. Complete parts (a) through (c) below. Click the icon to view the data for fatal crashes in 2016. (a) Among fatal crashes in unknown weather conditions, what is the probability that a randomly selected fatal crash occurs when it is dawn/dusk? The probability that a randomly selected fatal crash in unknown weather conditions occurs when it is dawn/dusk is approximately. (Round to three decimal places as needed.) Data table Weather Daylight Dark, but Lighted 5875 497 51 54 255 Normal Rain Snow/Sleet Other Unknown 14,307 875 219 125 810 (...) Dark 8151 681 156 220 548 Dawn/Dusk Other 1183 87 40 71 65 8 2 9 133 X

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